Neuroepidemiology
Original Paper
Age-Period-Cohort Modeling of Multiple Sclerosis Incidence Rates in Kuwait: 1980–2014Akhtar S.a · Al-Abkal J.c · Al-Hashel J.Y.b,d · Alroughani R.e,faDepartment of Community Medicine and Behavioural Sciences, Jabriya, Kuwait
bDepartment of Medicine, Faculty of Medicine, University of Kuwait, Jabriya, Kuwait cDepartment of Surgery, Farwaniya Hospital, Alrawdha, Kuwait dDepartment of Neurology, Ibn Sina Hospital, Safat, Kuwait eDivision of Neurology, Amiri Hospital, Sharq, Kuwait fNeurology Clinic, Dasman Diabetes Institute, Dasman, Kuwait |
|
Log in to MyKarger to check if you already have access to this content.
KAB
Buy a Karger Article Bundle (KAB) and profit from a discount!
If you would like to redeem your KAB credit, please log in.
Save over 20% compared to the individual article price.
Article / Publication Details
Received: August 29, 2017
Accepted: October 16, 2017
Published online: November 21, 2017
Issue release date: December 2017
Number of Print Pages: 8
Number of Figures: 4
Number of Tables: 2
ISSN: 0251-5350 (Print)
eISSN: 1423-0208 (Online)
For additional information: https://www.karger.com/NED
Abstract
Background: Multiple sclerosis (MS) is a complex immune-mediated disorder of the central nervous system with undefined etiology. Genetic predisposition and environmental factors play an imperative role in MS causation and its sustained increasing burden worldwide. This study examined the age, period, and cohort effects on MS incidence rates in Kuwait. Methods: In this retrospective cohort study, data on MS cases diagnosed between January 1, 1980 and December 31, 2014 and registered in National MS Registry and reference population were obtained. Age-period-cohort (APC) analysis was conducted using a loglinear Poisson regression model to supplement the descriptive and graphical presentation. Descriptive statistics were complemented with APC parameters’ estimates including net drift, local drift, age at onset curve, and longitudinal age trend. Age effect was presented as incidence rates (per 105 person-years), whereas period and cohort effects were presented as adjusted relative rates. Results: A total of 1,131 cases were diagnosed in 1,385,923 person-years. Overall age-standardized MS incidence rate was 64.5 (95% CI 52.4–79.8). An estimated annual percentage change revealed 7.4% annual increase in MS incidence rate during the study period (Net drift = 7.4%; 95% CI 4.1–10.8%). APC “fitted” age-at-onset curve showed a bimodal pattern with peaked incidence rates at 20–24 years and 45–49 years of age. Compared with the referent period (1980–1984) and cohort (1970–1974), MS incidence rates progressively and significantly (p < 0.001) increased during subsequent time periods and in successive cohorts. Results of APC analysis are descriptive in nature and specific etiological hypotheses were not evaluated. However, the findings of this study substantiated the notion of multiplicity of genetic and/or environmental risk factors’ contributions. Conclusion: A substantial increase in MS incidence rates was recorded, which significantly varied in all 3 temporal dimensions during the study period. Future studies may contemplate biological basis for recorded temporal increase in MS risk.
© 2017 S. Karger AG, Basel
Related Articles:
References
- Browne P, et al: Atlas of multiple sclerosis 2013: a growing global problem with widespread inequity. Neurology 2014; 83: 1022–1024.
- Disanto G, Morahan JM, Ramagopalan SV: Multiple sclerosis: risk factors and their interactions. CNS Neurol Disord Drug Targets 2012; 11: 545–555.
- GBD 2016 Disease and Injury Incidence and Prevalence Collaborators: Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1211–1259.
- Orton SM, et al: Sex ratio of multiple sclerosis in Canada: a longitudinal study. Lancet Neurol 2006; 5: 932–936.
- Bohlega S, et al: Multiple sclerosis in the Arabian Gulf countries: a consensus statement. J Neurol 2013; 260: 2959–2963.
- Alroughani R, et al: Increasing prevalence and incidence rates of multiple sclerosis in Kuwait. Mult Scler 2014; 20: 543–547.
- Alroughani R, et al: Incidence and prevalence of pediatric onset multiple sclerosis in Kuwait: 1994–2013. J Neurol Sci 2015; 353: 107–110.
- Clayton D, Schifflers E: Models for temporal variation in cancer rates. I: age-period and age-cohort models. Stat Med 1987; 6: 449–467.
- Akhtar S, et al: Retrospective cohort study of gender differential in risk of multiple sclerosis in Kuwait. Neuroepidemiology 2016; 46: 203–208.
- Akhtar S, Mohammad HG: Spectral analysis of HIV seropositivity among migrant workers entering Kuwait. BMC Infect Dis 2008; 8: 37.
- Al-Afasy HH, et al: Risk factors for multiple sclerosis in Kuwait: a population-based case-control study. Neuroepidemiology 2013; 40: 30–35.
- Alshubaili AF, et al: Epidemiology of multiple sclerosis in Kuwait: new trends in incidence and prevalence. Eur Neurol 2005; 53: 125–131.
- Polman CH, et al: Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011; 69: 292–302.
- McDonald WI, et al: Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol 2001; 50: 121–127.
- Poser CM, et al: New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Ann Neurol 1983; 13: 227–231.
- Schumacker GA, et al: Problems of experimental trials of therapy in multiple sclerosis: report by the panel on the evaluation of experimental trials of therapy in multiple sclerosis. Ann N Y Acad Sci 1965; 122: 552–568.
-
Ahmad OE, et al: Age Standardization of Rates: A New WHO Standard GPE Discussion Paper. Geneva, World Health Organization, 2000.
- Rosenberg PS, Anderson WF: Age-period-cohort models in cancer surveillance research: ready for prime time? Cancer Epidemiol Biomarkers Prev 2011; 20: 1263–1268.
- Holford TR: The estimation of age, period and cohort effects for vital rates. Biometrics 1983; 39: 311–324.
-
Rogers W: Estimable functions of age, period and cohort effects. Am Soc Rev 1982; 47: 11.
-
Holford TR: Monitoring the Health of Populations Statistical Principles and Methods for Public Health Surveillance. Oxford, Oxford Univerity Press, 2003.
- Clayton D, Schifflers E: Models for temporal variation in cancer rates. II: age-period-cohort models. Stat Med 1987; 6: 469–481.
- Sonnenberg A, Ajdacic-Gross V: Similar birth-cohort patterns in Crohn’s disease and multiple sclerosis. Mult Scler 2017, Epub ahead of print.
- Tarone RE, Chu KC: Evaluation of birth cohort patterns in population disease rates. Am J Epidemiol 1996; 143: 85–91.
- Marrie RA, et al: The rising prevalence and changing age distribution of multiple sclerosis in Manitoba. Neurology 2010; 74: 465–471.
- Alroughani R, et al: Is time to reach EDSS 6.0 faster in patients with late-onset versus young-onset multiple sclerosis? PLoS One 2016; 11:e0165846.
- Ribbons K, et al: Ongoing increase in incidence and prevalence of multiple sclerosis in Newcastle, Australia: a 50-year study. Mult Scler 2017; 23: 1063–1071.
- Al-Shammri SN, et al: Sociocultural and demographic risk factors for the development of multiple sclerosis in Kuwait: a case – control study. PLoS One 2015; 10:e0132106.
- Alfadhli S, et al: Discordance between lifestyle-related health practices and beliefs of people living in Kuwait: a community-based study. Med Princ Pract 2017; 26: 10–16.
- Al-Haifi AR, et al: Relative contribution of physical activity, sedentary behaviors, and dietary habits to the prevalence of obesity among Kuwaiti adolescents. Food Nutr Bull 2013; 34: 6–13.
- Allafi A, et al: Physical activity, sedentary behaviours and dietary habits among Kuwaiti adolescents: gender differences. Public Health Nutr 2014; 17: 2045–2052.
- Behbehani K: Kuwait national programme for healthy living: first 5-year plan (2013–2017). Med Princ Pract 2014; 23(suppl 1):32–42.
- Hadi F, Lai BS, Llabre MM: Life outcomes influenced by war-related experiences during the Gulf crisis. Anxiety Stress Coping 2014. 27: 156–175.
- Abbasi M, et al: Multiple sclerosis and environmental risk factors: a case-control study in Iran. Neurol Sci 2017; 38: 1941–1951.
- Abdollahpour I, et al: Waterpipe smoking associated with multiple sclerosis: a population-based incident case-control study. Mult Scler 2017; 23: 1328–1335.
- Greenland S, Mansournia MA, Altman DG: Sparse data bias: a problem hiding in plain sight. BMJ 2016; 352:i1981.
Article / Publication Details
Received: August 29, 2017
Accepted: October 16, 2017
Published online: November 21, 2017
Issue release date: December 2017
Number of Print Pages: 8
Number of Figures: 4
Number of Tables: 2
ISSN: 0251-5350 (Print)
eISSN: 1423-0208 (Online)
For additional information: https://www.karger.com/NED
Copyright / Drug Dosage / Disclaimer
Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.

Get Permission